2024 Poster Papers
8,865 papers found • Page 4 of 178
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim, SEHYUN HWANG, Suha Kwak et al.
Active Object Detection with Knowledge Aggregation and Distillation from Large Models
Dejie Yang, Yang Liu
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Lei Fan, Jianxiong Zhou, Xiaoying Xing et al.
Active Preference Learning for Large Language Models
William Muldrew, Peter Hayes, Mingtian Zhang et al.
Active Prompt Learning in Vision Language Models
Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
Active Ranking and Matchmaking, with Perfect Matchings
Hafedh El Ferchichi, Matthieu LERASLE, Vianney Perchet
Active Retrosynthetic Planning Aware of Route Quality
Luotian Yuan, Yemin Yu, Ying Wei et al.
Active Statistical Inference
Tijana Zrnic, Emmanuel J Candes
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui, Xiner Li, Shuiwang Ji
Activity-Biometrics: Person Identification from Daily Activities
Shehreen Azad, Yogesh S. Rawat
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
Yucen Wang, Shenghua Wan, Le Gan et al.
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset
Jan Lehr, Jan H Philipps, Alik Sargsyan et al.
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
Cheeun Hong, Kyoung Mu Lee
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao, Jiangning Zhang, Luca Frittoli et al.
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
Shengkun Tang, Yaqing Wang, Caiwen Ding et al.
AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution
Yuanting Fan, Chengxu Liu, Nengzhong Yin et al.
AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition
Fadi Boutros, Vitomir Struc, Naser Damer
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
Adam Pardyl, Michal Wronka, Maciej Wołczyk et al.
AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network
Yuxi Li, Fuyuan Cheng, Wangbo Yu et al.
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
Zhuguanyu Wu, Jiaxin Chen, Hanwen Zhong et al.
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang, Zhenyi Wang, Li Shen et al.
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
Zanlin Ni, Yulin Wang, Renping Zhou et al.
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang, Minghao Chen, Qibo Qiu et al.
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
Jonas Herzog
Adapters Strike Back
Jan-Martin Steitz, Stefan Roth
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia, Yujiao Shi, HONGDONG LI et al.
Adapting Large Language Models via Reading Comprehension
Daixuan Cheng, Shaohan Huang, Furu Wei
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang, Byungkun Lee, Hojoon Lee et al.
Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
Min Yang, gaohuan, Ping Guo et al.
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi, Li Gu, Tao Zhong et al.
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Yi Xu, Yun Fu
Adapting to Shifting Correlations with Unlabeled Data Calibration
Minh Nguyen, Alan Q Wang, Heejong Kim et al.
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
Tenglong Liu, Yang Li, Yixing Lan et al.
Adaptive Annealing for Robust Averaging
Sidhartha Chitturi, Venu Madhav Govindu
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi, Jian Pang, Bingfeng Zhang et al.
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann et al.
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata, Tomer Michaeli, Michael Elad
Adaptive Conformal Inference by Betting
Aleksandr Podkopaev, Darren Xu, Kuang-chih Lee
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib et al.
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Tingting Jiang, Qi Xu, Xuming Ran et al.
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
Xudong Li, Timin Gao, Runze Hu et al.
Adaptive Federated Learning with Auto-Tuned Clients
Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar Uribe et al.
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
JunDa Cheng, Wei Yin, Kaixuan Wang et al.
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
Feng Gao, Liangzhi Shi, Shenao Zhang et al.
Adaptive Group Personalization for Federated Mutual Transfer Learning
Haoqing Xu, Dian Shen, Meng Wang et al.
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
Alaa Anani, Tobias Lorenz, Bernt Schiele et al.
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
Chenyue Li, Shuoyi Chen, Mang Ye
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev, Krishnan Srinivasan, Jie Xu et al.
Adaptive Human Trajectory Prediction via Latent Corridors
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy et al.